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Paper Citation Record · LEDGER

Machine Unlearning for Traditional Models and Large Language Models: A Short Survey

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.01206.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2404.01206 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:32:59.040093Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-19T09:37:14.165341Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0021814b-deb9-475b-9ab0-10cacb66158c · inbound

ForgetMe: Evaluating Selective Forgetting in Generative Models cites this paper.

ForgetMe: Evaluating Selective Forgetting in Generative Models Machine Unlearning for Traditional Models and Large Language Models: A Short Survey

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-16T12:32:59.040093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:32:59.040093Z digest=sha256:d3cbd1285c5b4830c46ae6a6ea82c5775bc78e39451819c94eefe48881c713c4

Observation b5641037-d00f-43b6-a2d5-7544d8b58ac4 · inbound

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection cites this paper.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Machine Unlearning for Traditional Models and Large Language Models: A Short Survey

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:39.926816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.926816Z digest=sha256:c6faf6f568068494012c465c88ff0b6234570bae3559e875e69a53d2af28b6d4

Observation 804e31a1-0481-4190-ad2a-fa8d57eca788 · inbound

Towards Reliable Forgetting: A Survey on Machine Unlearning Verification cites this paper.

Towards Reliable Forgetting: A Survey on Machine Unlearning Verification Machine Unlearning for Traditional Models and Large Language Models: A Short Survey

Reference 116

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:37:14.166649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-19T09:35:00.520860Z digest=sha256:69bb60f1bbe93e74b1dc990f3ed97c6145a127166e08ee33dc7a40e1ccfa1040

Observation eb67a314-b2fc-431d-a200-10f049868f58 · inbound

PBFT-Backed Semantic Voting for Multi-Agent Memory Pruning cites this paper.

PBFT-Backed Semantic Voting for Multi-Agent Memory Pruning Machine Unlearning for Traditional Models and Large Language Models: A Short Survey

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T19:34:30.027354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:34:30.027354Z digest=sha256:87e1b0c1a445ee76d91c3e2bf3eeddd46acb6cedadbd92bd5c94ce6d8fb0873c